[Mne_analysis] temporal decoding: group analysis for mixed design

[JR KING]

Dear Yi-hui

Decoding is generally not really adapted for mix-designed, as the models
are traditionally fit at the single subject level - i.e. your model cannot
be easily optimized to look for an across-subject effect.

You can however compare the decoding scores across subjects/conditions as a
first approximation, and specify individual subjects' score as your random
variable.

For multifactorial within-subject effects, a simple approach can be to
implement RSA; we recently added this example in MNE:
https://mne-tools.github.io/stable/auto_examples/decoding/decoding_rsa.html

I will refer you to Kriegoskorte's RSA papers to see how you adapt this
analysis to your specific needs,

Kindest regards,

Jean-Rémi

On 18 December 2017 at 02:05, Yi-hui Hung <vedahung1116 at gmail.com> wrote:

> Hello MNE experts,
>
> I have MEG data with two within-subject factors (each having 2 and 3
> levels) and one between-subject factor (2 levels).  I performed decoding
> analysis on my MEG data by using the function " time_decod.fit". The
> question is how to perform group analysis in subject's decoding data in MNE
> (or outside MNE) for my mixed design (2 x 3 x 2 factorial design). Besides,
> I have another dependent variable by using "predict_proba" function to get
> the predicting probability. I want to test whether the distribution of
> predicting probability differ according to my design. Whether the
> difference of the distribution continues in time (e.g., 200-300ms after
> stimulus onset) does not matter. Suggestions will be appreciated.
>
>
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